MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine (ICCV 2025 Workshop); Perception Tokens Enhance Visual Reasoning in Multimodal Language Models (CVPR 2025); Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening (CVPR 2024 Workshop); Data Alignment for Zero-Shot Concept Generation in Dermatology AI (ICLR 2024 Workshop); MIMIC: Masked Image Modeling with Image Correspondences (CVPR 2024 Workshop); Image-based cell profiling enhancement via data cleaning methods (PLOS ONE journal).
Research Experience
Research intern at Genentech, South San Francisco, CA (2023), working on genetic perturbation representation learning from single-cell images; Research assistant at the University of Washington, Seattle, WA (2022 — Present), working on a joint project with Amazon on 3D scene understanding; Research intern at Technical University of Munich, Germany (2021 - 2022), developed a model based on Graph Convolutional Network architecture for detecting seizure in EEG signals; Research assistant at Sharif University of Technology, Iran (2019 — 2021), enhanced single-cell profiles via data cleaning.
Education
PhD at the University of Washington (2022 — present), Supervisors: Prof. Linda Shapiro and Ranjay Krishna; Bachelor's degree from Sharif University of Technology (2017 — 2022), Supervisor: Mohammad Hossein Rohban; Farzanegan2 high school (2013 - 2017), Diploma In Mathematics and Physics in the gifted students high school in Iran.
Background
A computer science Ph.D. student with interests in computer vision, multimodal learning, and representation learning.
Miscellany
Portfolio showcases various design and development projects.